2. Deeper analysis with no-code ML

Create custom IT analyses effortlessly with the no-code builder. Run complex, tailored computations, such as outage prediction and escalation probability, by heading to the Python code studio to create custom ML models or wield AutoML capabilities for a no-code experience.

The contextual decision-intelligence platform monitors IT data and offers practical remedial strategies for even the most complex IT challenges, drastically reducing the time spent on monitoring metrics and ensuring optimal IT performance.

• Access Zia anywhere: Embed Zia within third-party apps for real-time insights, wherever needed.

• Enhanced visual insights: View report KPIs alongside Zia Insights, supported by AI-generated visual suggestions for better data visualization.

• Key driver analysis (diagnostic insights): Understand key factors influencing metrics and uncover root causes with contextual intelligence for faster decisions.
  

• Configurable insights: Customize Zia Insights by selecting specific columns, enabling targeted and focused KPI analysis.



• Complex query support: Simplify advanced mathematical correlations with Zia's expanded query-handling capabilities.

5. Cluster analysis

Powered by machine learning algorithms, cluster analysis empowers organizations to group IT entities, such as network devices, into affinity groups, expediting the identification of common inefficiencies.



6. Automated anomaly detection 

Automatically flag anomalous activities and configure anomaly-based alerts to catch deviations from perceived norms immediately. This is especially effective in catching potential issues before they escalate, such as unexpected usage spikes or security threats.

7. Centralized metrics library 

Access a unified repository for every  KPI to ensure consistency and ease of access while analyzing IT operations. Users can define, edit, or customize metrics to align with goals, facilitating collaboration and standardized reporting.

8. Multi-variate forecasting

Elevate the accuracy of IT forecasting by incorporating influencing entities and events that have a bearing on the predicted trends.

9. Compelling visualizations

Explore a series of innovative chart types to transform data into engaging, insightful visualizations. These include:

1. Workflow charts: Visualize IT processes to catch bottlenecks in ticket transitions, delays in project execution, and deviations from intended workflows.

1. Sunburst charts: Decode multi-level, hierarchical data at a glance, making it easier to uncover variations across nested categories.

1. Treemap charts: Analyze large scale data distribution with greater depth, handling multiple dimensions to reveal even the smallest deviations.

1. Conversion bar charts: Monitor the flow of data across sequential stages, identifying changes at each step to optimize processes.

1. Racing charts: Visualize data evolution over time with animated charts, highlighting trends and anomalies dynamically.

1. Sparklines in pivot: Add visual cues like line or bar charts to pivot tables, offering a quick glance at trends and fluctuations alongside aggregated data.

1. Map layering: Overlay multiple datasets on a single map, enabling comprehensive analysis of metrics across geographical regions.
   

10. Dashboard enhancements 

Analytics Plus brought several usability improvements to dashboards:

• Auto-merging of user filters: Streamline analysis by consolidating filter settings across multiple datasets automatically.

• Inline text editor: Add annotations or detailed explanations directly to dashboards for better context.

• Wrap texts: Avoid truncated text by enabling wrap-around functionality for longer labels, ensuring clarity.
  

• Enhanced user interface: The new Add Elements section simplifies dashboard design with drag-and-drop widgets, text, images, and embedded URLs, enabling quick enhancements.

• Upgraded themes and backgrounds: Design visually appealing dashboards with new themes, transparent cards, and customizable background effects, ensuring clarity and style.

• Export as PPT: Export dashboards as Microsoft PowerPoint presentations, with added password protection for secure collaboration.

• Image and custom icon support: Add images and custom icons to KPI widgets for quick visual cues, reducing reliance on lengthy descriptions.

• Global user filter: Set up global user filters, either consolidating common filters across tabs or selecting filters for specific dashboard tabs, enhancing filtering efficiency.
  

11. Multi server architecture   

Scale infrastructure effortlessly for enhanced performance and reliability. Analytics Plus on-premises users can now distribute workloads across multiple servers to handle growing data demands and gain uninterrupted insights into expanding IT datasets.  

12. Extended data import options

Analytics Plus has expanded its import capabilities, providing seamless access to data from diverse sources. This includes Elasticsearch, local databases such as Actian Ingres, InterSystems Cache, Claris FileMaker, Vertica, Yellowbrick, Clickhouse, Dremio, Druid, Neo4j, Trino, Presto, Databricks, HFSQL, and OLEDB. It also supports cloud databases like Atlas Data Federation and Amazon Lightsail.

13. Audit and sync history for enhanced data governance

With detailed records of every data-source related activity and synchronization, IT teams can ensure transparency and compliance, especially for critical IT data and analyses. 

14. Drill-through functionality 

Users can seamlessly navigate across related reports by drilling into specific data points, enhancing data exploration and analysis.

In addition to these groundbreaking features and integrations, we’ve rolled out a series of insightful collaterals to refine your IT operations. Here’s a handpicked list of our top 2024 releases: